Published Paper Details:

The rapid advancement of Artificial Intelligence (AI) has ushered in transformative changes across various industries, with the Information Technology (IT) sector being at the forefront. This abstract explores the impact of AI tools on performance management within the IT sector, also focusing on challenges and opportunities in AI Implementation. AI-driven performance management tools leverage data analytics, machine learning, and natural language processing to provide more objective, continuous, and real-time assessments of employee performance. These tools facilitate the automation of routine tasks, allowing managers to focus on strategic decision-making and personalized employee development. Key benefits include improved accuracy in performance evaluations, reduced biases, and enhanced ability to predict and mitigate performance issues. AI tools can analyse vast amounts of data from various sources such as project management systems, communication platforms, and employee feedback, providing comprehensive insights into individual and team performance. Predictive analytics enable proactive management by identifying potential performance issues before they become critical, thus enhancing employee productivity and job satisfaction. However, the integration of AI in performance management also raises concerns regarding data privacy, ethical considerations, and the potential for over-reliance on automated systems. Ensuring transparency, accountability, and the involvement of human oversight is essential to mitigate these risks. In conclusion, AI tools significantly enhance performance management in the IT sector by providing more accurate, real-time, and actionable insights. While the benefits are substantial, addressing ethical and privacy concerns is crucial to fully realizing the potential of AI in performance management.